The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.

A method for denoising a range image acquired by a time-of-flight (ToF) camera by first determining locations of edges, and a confidence value of each pixel, and based on the locations of the edges, determining geodesic distances of neighboring pixels. Based on the confidence values, reliabilities of the neighboring pixels are determined and scene dependent noise is reduced using a filter.

An ultrasonic diagnostic device according to an embodiment includes a collecting unit and processing circuitry. The collecting unit performs ultrasonic scanning with respect to a subject and collects reflected-wave data. The processing circuitry performs short-time Fourier transform in the depth direction with respect to the reflected-wave data; applies a nonlinear adaptive MTI filter on a frequency-by-frequency basis with respect to the result of the short-time Fourier transform; and performs inverse short-time Fourier transform in the depth direction with respect to the output of the nonlinear adaptive MTI filter. Then, the processing circuitry estimates blood flow information from the result of the inverse short-time Fourier transform.

Disclosed herein are systems and methods for automatic detection of clinical relevance of images of an anatomical situation. The method includes comparing a first image and a second image and determining whether a difference between the first and second images is at least one of a local type difference and a global type difference. The local type difference is a local difference of the first image and the second image and the global type difference is a global difference between the first image and the second image. The second image is determined as having a clinical relevance if it is determined that the difference between the first image and the second image comprises a local type difference.

A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique. In accordance with the present invention, performing the model based segmentation further comprises determining from patient data (042) medical information which is predictive of an appearance of the anatomical structure in the medical image, and adjusting or setting a segmentation parameter based on the medical information so as to adjust the model-based segmentation to said predicted appearance of the anatomical structure in the medical image, the segmentation parameter being a parameter of i) the deformable model or ii) the adaptation technique. Advantageously, the system and method are enabled to better cope with the inter-patient and inter-disease-stage variability in the appearance of anatomical structures.

An information processing device includes a holding unit which holds pieces of reference data including a captured image, a position and an orientation of an imaging apparatus when the image is captured, and three-dimensional information of a feature in a space corresponding to the image in association with each other, an input unit which inputs the captured image, a derivation unit which derives a position and an orientation of the imaging apparatus when the input image is captured, an addition determination unit which determines whether a new piece of reference data is to be added, a generating unit which, if the addition determination unit determines the new piece of reference data is to be added, generates a new piece of reference data, and an updating unit which adds the generated piece of reference data and updates the pieces of reference data.

A tiling unit assigning primitives to tiles in a graphics processing system which has a rendering space subdivided into a plurality of tiles. Each tile can comprise one or more polygonal region. Mesh logic of the tiling unit can determine that a plurality of primitives form a mesh and can determine whether the mesh entirely covers a region. If the mesh entirely covers the region then a depth threshold for the region can be updated so that subsequent primitives which lie behind the depth threshold are culled (i.e. not included in the display list for a tile). This helps to reduce the number of primitive IDs included in a display list for a tile which reduces the amount of memory used by the display list and reduces the number of primitives which a hidden surface removal (HSR) module needs to fetch to perform HSR on the tile.

Disclosed are systems and methods for clinical trial assessment of skin disease treatment. The disclosure includes obtaining a series of digital images over a period of time, wherein each digital image includes an affected area of the subject; identifying characteristic morphologies and lesions in the affected area of the subject in each of the digital images; classifying each of the detected and segmented morphologies and lesions into one or more identified categories for each of the digital images; assigning a global score to each of the digital images based on a count of the detected and segmented characteristic morphologies and lesions in each of the one or more identified categories; analyzing the global scores of each of the digital images; and making an assessment of the clinical trial based on the analysis of the global scores of each of the digital images.

An X-ray CT apparatus is provided which can easily decide on a reconstruction method based on imaging conditions. The X-ray CT apparatus comprises an irradiation unit irradiating a subject with X-rays, a detector configured to detect X-rays transmitted through the subject, and a rotator rotating irradiation unit and detector around the subject, and which generates an image by receiving biological signals of the subject to perform synchronous imaging. A memory stores a threshold value. Processing circuitry calculates, based on imaging conditions related to the synchronous imaging, a detection data amount in which detection data amount detected by the detector is represented by a number of rotations of the rotator, decides, based on the detection data amount and the threshold value, on a reconstruction process for implementation on the detection data, and implements reconstruction processes based on the detection data to generate the image.

An invention for generating an alternative representation of virtual content in a virtual universe is provided. In one embodiment, there is an alternative representation tool, including a visual component configured to determine a visual capacity of a user of a virtual universe. The alternative representation tool further includes an alternative component configured to provide an alternative representation of a virtual content renderable in the virtual universe based on the visual capacity of the user of the virtual universe.